推薦安裝mysql5.7環(huán)境:
- 官網(wǎng)下載:https://dev.mysql.com/downloads/installer/5.7.html
- 如果提示沒有
.NET Framework框架。那么就在提示框中找到下載鏈接,下載一個就可以了。 - 如果提示沒有
Microsoft Virtual C++ x64(x86),那么百度或者谷歌這個軟件安裝即可。
Navicat Premium 版本:
navicat是一個操作mysql數(shù)據(jù)庫非常方便的軟件。使用他操作數(shù)據(jù)庫,就跟使用excel操作數(shù)據(jù)是一樣的。
1.官網(wǎng)下載:http://www.navicat.com.cn/download/navicat-premium
推薦使用 (官網(wǎng)最新版的沒有破解成功,推薦這個版本)Navicat Premium 12.0.27簡體中文64位,密碼: s9f8

2.破解參考
https://blog.csdn.net/pippa134679/article/details/81354131
http://www.itdecent.cn/p/5f693b4c9468
安裝驅(qū)動程序:
Python要想操作MySQL。必須要有一個中間件,或者叫做驅(qū)動程序。驅(qū)動程序有很多。比如有mysqldb、mysqlclient、pymysql等。在這里,我們選擇用pymysql。安裝方式也是非常簡單,通過命令pip install pymysql即可安裝。
數(shù)據(jù)庫連接:
數(shù)據(jù)庫連接之前。首先先確認(rèn)以下工作完成,這里我們以一個pymysql_test數(shù)據(jù)庫.以下將介紹連接mysql的示例代碼:
import pymysql
db = pymysql.connect(
host="127.0.0.1",
user='root',
password='root',
database='pymysql_test',
port=3306
)
cursor = db.cursor()
cursor.execute("select 1")
data = cursor.fetchone()
print(data)
db.close()
插入數(shù)據(jù):
import pymysql
db = pymysql.connect(
host="127.0.0.1",
user='root',
password='root',
database='pymysql_test',
port=3306
)
cursor = db.cursor()
sql = """
insert into user(
id,username,gender,age,password
)
values(null,'abc',1,18,'111111');
"""
cursor.execute(sql)
db.commit()
db.close()
如果在數(shù)據(jù)還不能保證的情況下,可以使用以下方式來插入數(shù)據(jù):
sql = """
insert into user(
id,username,gender,age,password
)
values(null,%s,%s,%s,%s);
"""
cursor.execute(sql,('spider',1,20,'222222'))
查找數(shù)據(jù):
使用pymysql查詢數(shù)據(jù)。可以使用fetch*方法。
-
fetchone():這個方法每次之獲取一條數(shù)據(jù)。 -
fetchall():這個方法接收全部的返回結(jié)果。 -
fetchmany(size):可以獲取指定條數(shù)的數(shù)據(jù)。
示例代碼如下:
cursor = db.cursor()
sql = """
select * from user
"""
cursor.execute(sql)
while True:
result = cursor.fetchone()
if not result:
break
print(result)
db.close()
或者是直接使用fetchall,一次性可以把所有滿足條件的數(shù)據(jù)都取出來:
cursor = db.cursor()
sql = """
select * from user
"""
cursor.execute(sql)
results = cursor.fetchall()
for result in results:
print(result)
db.close()
或者是使用fetchmany,指定獲取多少條數(shù)據(jù):
cursor = db.cursor()
sql = """
select * from user
"""
cursor.execute(sql)
results = cursor.fetchmany(1)
for result in results:
print(result)
db.close()
刪除數(shù)據(jù):
cursor = db.cursor()
sql = """
delete from user where id=1
"""
cursor.execute(sql)
db.commit()
db.close()
更新數(shù)據(jù):
conn = pymysql.connect(host='localhost',user='root',password='root',database='pymysql_demo',port=3306)
cursor = conn.cursor()
sql = """
update user set username='aaa' where id=1
"""
cursor.execute(sql)
conn.commit()
conn.close()
實(shí)戰(zhàn)抓取安居客廣西南寧全區(qū)的租房信息(正則表達(dá)式,MySQL數(shù)據(jù)庫保存)
import requests
import re
import pymysql
# 實(shí)戰(zhàn)抓取安居客廣西南寧全區(qū)的租房信息(正則表達(dá)式,數(shù)據(jù)庫保存)
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36'
}
def insert_house_detail(url):
print(url)
# 連接數(shù)據(jù)庫和添加數(shù)據(jù)
conn = pymysql.connect(host='localhost', user='root', password='password', database='zufang', port=3306)
cursor = conn.cursor()
# 添加數(shù)據(jù)
sql = """
insert into house(id,title,img,price,payType,leaseType,houseType,address,detail) values(null,%s,%s,%s,%s,%s,%s,%s,%s)
"""
# 獲取數(shù)據(jù)并添加到數(shù)據(jù)庫
response = requests.get(url, headers=headers)
text = response.text
title = re.findall(r'<h3\sclass="house-title">(.*?)</h3>', text, re.DOTALL)[0]
img = re.findall(r'<div\sclass="img_wrap">.*?<img\sdata-src="(.*?)".*?>', text, re.DOTALL)[0]
price = re.findall(r'<span\sclass="price">.*?<em>(.*?)</em>', text, re.DOTALL)[0]
payType = re.findall(r'<span\sclass="type">(.*?)</span>', text, re.DOTALL)[0]
leaseType = re.findall(r'<span\sclass="info">(.*?)</span>', text, re.DOTALL)[1]
houseType = re.findall(r'<span\sclass="info">(.*?)</span>', text, re.DOTALL)[0]
# houseType = re.findall(r'<ul.*?class="f14">.*?<span\sclass="c_888 mr_15">.*?<span>(.*?)</span>.*?</li>', text, re.DOTALL)[0].replace(' ', '').replace(' ', '').strip()
address = re.findall(r'<li\sclass="house-info-item l-width">.*?<a.*?>(.*?)</a>', text, re.DOTALL)
detail_tag = re.findall(r'<div\sclass="auto-general">(.*?)</div>', text, re.DOTALL)[0]
# 去掉抓取到標(biāo)簽和空格
detail = re.sub('<.+?>', "", detail_tag).replace(' ', '').strip()
cursor.execute(sql, (title, img, price, payType, leaseType, houseType, address, detail))
conn.commit()
conn.close()
def parse_page(url):
response = requests.get(url, headers=headers)
text = response.text
# 先獲取url
urls = re.findall(r'<div\sclass="zu-info">.*?<a.*?href="(.*?)".*?>.*?</a>', text, re.DOTALL)[1:-2]
for index,url_tag in enumerate(urls):
insert_house_detail(url_tag)
def main():
for x in range(1,21):
url = 'https://nn.zu.anjuke.com/fangyuan/p%s/' % x
parse_page(url)
if __name__ == '__main__':
main()
上一篇:數(shù)據(jù)存儲之json文件處理和csv文件處理
下一篇:數(shù)據(jù)存儲之使用Mongodb數(shù)據(jù)庫存儲數(shù)據(jù)